Overview

Dataset statistics

Number of variables13
Number of observations187
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory9.6 KiB
Average record size in memory52.7 B

Variable types

Numeric13

Alerts

MFCC_1 is highly overall correlated with MFCC_12 and 3 other fieldsHigh correlation
MFCC_12 is highly overall correlated with MFCC_1High correlation
MFCC_2 is highly overall correlated with MFCC_1 and 2 other fieldsHigh correlation
MFCC_3 is highly overall correlated with MFCC_1High correlation
MFCC_4 is highly overall correlated with MFCC_2High correlation
MFCC_5 is highly overall correlated with MFCC_1High correlation
MFCC_8 is highly overall correlated with MFCC_2High correlation
MFCC_1 has unique valuesUnique
MFCC_2 has unique valuesUnique
MFCC_3 has unique valuesUnique
MFCC_4 has unique valuesUnique
MFCC_5 has unique valuesUnique
MFCC_6 has unique valuesUnique
MFCC_7 has unique valuesUnique
MFCC_8 has unique valuesUnique
MFCC_9 has unique valuesUnique
MFCC_10 has unique valuesUnique
MFCC_11 has unique valuesUnique
MFCC_12 has unique valuesUnique
MFCC_13 has unique valuesUnique

Reproduction

Analysis started2024-04-08 08:23:40.613637
Analysis finished2024-04-08 08:23:51.945999
Duration11.33 seconds
Software versionydata-profiling vv4.7.0
Download configurationconfig.json

Variables

MFCC_1
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct187
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-330.34741
Minimum-432.45026
Maximum-249.50545
Zeros0
Zeros (%)0.0%
Negative187
Negative (%)100.0%
Memory size880.0 B
2024-04-08T13:53:52.002307image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/

Quantile statistics

Minimum-432.45026
5-th percentile-397.60593
Q1-359.93132
median-328.98843
Q3-295.37636
95-th percentile-276.26508
Maximum-249.50545
Range182.94481
Interquartile range (IQR)64.554962

Descriptive statistics

Standard deviation39.61919
Coefficient of variation (CV)-0.11993189
Kurtosis-0.72868276
Mean-330.34741
Median Absolute Deviation (MAD)31.941772
Skewness-0.26956546
Sum-61774.966
Variance1569.6803
MonotonicityNot monotonic
2024-04-08T13:53:52.112920image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-360.6315002 1
 
0.5%
-276.3145752 1
 
0.5%
-350.3099976 1
 
0.5%
-339.8673401 1
 
0.5%
-295.3063354 1
 
0.5%
-258.1368103 1
 
0.5%
-249.5054474 1
 
0.5%
-270.9680176 1
 
0.5%
-295.227356 1
 
0.5%
-295.3082886 1
 
0.5%
Other values (177) 177
94.7%
ValueCountFrequency (%)
-432.4502563 1
0.5%
-423.5259705 1
0.5%
-420.9471741 1
0.5%
-412.9743958 1
0.5%
-412.7264404 1
0.5%
-408.0872803 1
0.5%
-404.9391174 1
0.5%
-403.7216187 1
0.5%
-400.8386536 1
0.5%
-398.4038086 1
0.5%
ValueCountFrequency (%)
-249.5054474 1
0.5%
-258.1368103 1
0.5%
-259.2257385 1
0.5%
-269.8056335 1
0.5%
-270.4640808 1
0.5%
-270.598877 1
0.5%
-270.6405029 1
0.5%
-270.9680176 1
0.5%
-274.5909119 1
0.5%
-276.243866 1
0.5%

MFCC_2
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct187
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean130.25878
Minimum34.766239
Maximum185.19131
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size880.0 B
2024-04-08T13:53:52.219453image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/

Quantile statistics

Minimum34.766239
5-th percentile70.772633
Q198.307396
median140.28271
Q3159.77811
95-th percentile174.88141
Maximum185.19131
Range150.42508
Interquartile range (IQR)61.470718

Descriptive statistics

Standard deviation35.444633
Coefficient of variation (CV)0.27210936
Kurtosis-0.87768543
Mean130.25878
Median Absolute Deviation (MAD)26.32132
Skewness-0.49860308
Sum24358.392
Variance1256.322
MonotonicityNot monotonic
2024-04-08T13:53:52.324083image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
132.2834778 1
 
0.5%
109.3615265 1
 
0.5%
166.6040344 1
 
0.5%
175.453186 1
 
0.5%
185.1913147 1
 
0.5%
173.91922 1
 
0.5%
159.9375 1
 
0.5%
148.522644 1
 
0.5%
140.8888702 1
 
0.5%
123.5480499 1
 
0.5%
Other values (177) 177
94.7%
ValueCountFrequency (%)
34.76623917 1
0.5%
43.86831284 1
0.5%
45.91771698 1
0.5%
59.52607727 1
0.5%
63.9416275 1
0.5%
64.53891754 1
0.5%
66.00986481 1
0.5%
67.27082825 1
0.5%
68.71824646 1
0.5%
69.1462326 1
0.5%
ValueCountFrequency (%)
185.1913147 1
0.5%
183.2193298 1
0.5%
182.6943359 1
0.5%
179.3739471 1
0.5%
179.1358643 1
0.5%
179.0621338 1
0.5%
176.7118835 1
0.5%
175.5799561 1
0.5%
175.453186 1
0.5%
175.2102356 1
0.5%

MFCC_3
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct187
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-45.690352
Minimum-102.12929
Maximum4.3546481
Zeros0
Zeros (%)0.0%
Negative183
Negative (%)97.9%
Memory size880.0 B
2024-04-08T13:53:52.432874image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/

Quantile statistics

Minimum-102.12929
5-th percentile-80.024182
Q1-63.942701
median-45.494442
Q3-29.528512
95-th percentile-8.809798
Maximum4.3546481
Range106.48393
Interquartile range (IQR)34.414189

Descriptive statistics

Standard deviation22.542036
Coefficient of variation (CV)-0.49336534
Kurtosis-0.71548736
Mean-45.690352
Median Absolute Deviation (MAD)17.151077
Skewness0.037523784
Sum-8544.0958
Variance508.1434
MonotonicityNot monotonic
2024-04-08T13:53:52.539706image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.031229734 1
 
0.5%
-84.47898865 1
 
0.5%
-22.3305378 1
 
0.5%
-25.909832 1
 
0.5%
-51.9299469 1
 
0.5%
-85.71931458 1
 
0.5%
-102.1292877 1
 
0.5%
-89.68418121 1
 
0.5%
-62.25495148 1
 
0.5%
-54.53924179 1
 
0.5%
Other values (177) 177
94.7%
ValueCountFrequency (%)
-102.1292877 1
0.5%
-90.87948608 1
0.5%
-89.68418121 1
0.5%
-89.37631226 1
0.5%
-85.71931458 1
0.5%
-84.47898865 1
0.5%
-84.45989227 1
0.5%
-83.21871948 1
0.5%
-82.02471924 1
0.5%
-80.3074646 1
0.5%
ValueCountFrequency (%)
4.354648113 1
0.5%
1.467905521 1
0.5%
1.031229734 1
0.5%
0.1368458569 1
0.5%
-0.5128375292 1
0.5%
-2.516016483 1
0.5%
-6.948708057 1
0.5%
-7.130700588 1
0.5%
-8.396389008 1
0.5%
-8.581157684 1
0.5%

MFCC_4
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct187
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean60.367184
Minimum14.440569
Maximum130.27499
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size880.0 B
2024-04-08T13:53:52.640426image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/

Quantile statistics

Minimum14.440569
5-th percentile29.249136
Q148.684286
median59.389561
Q370.176418
95-th percentile94.390176
Maximum130.27499
Range115.83443
Interquartile range (IQR)21.492132

Descriptive statistics

Standard deviation20.31016
Coefficient of variation (CV)0.33644371
Kurtosis1.1826885
Mean60.367184
Median Absolute Deviation (MAD)10.820164
Skewness0.60479617
Sum11288.663
Variance412.50259
MonotonicityNot monotonic
2024-04-08T13:53:52.746705image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
53.75860596 1
 
0.5%
55.98366547 1
 
0.5%
50.36783981 1
 
0.5%
30.71811485 1
 
0.5%
14.44056892 1
 
0.5%
18.39515686 1
 
0.5%
32.33421326 1
 
0.5%
48.56939697 1
 
0.5%
64.00507355 1
 
0.5%
68.52814484 1
 
0.5%
Other values (177) 177
94.7%
ValueCountFrequency (%)
14.44056892 1
0.5%
16.29460716 1
0.5%
18.39515686 1
0.5%
21.04496574 1
0.5%
24.94135284 1
0.5%
25.71624184 1
0.5%
27.6689949 1
0.5%
28.18695068 1
0.5%
28.59512329 1
0.5%
29.06763077 1
0.5%
ValueCountFrequency (%)
130.2749939 1
0.5%
129.1423035 1
0.5%
123.6378555 1
0.5%
117.6378784 1
0.5%
105.6255875 1
0.5%
101.3912964 1
0.5%
100.7331238 1
0.5%
98.22819519 1
0.5%
97.94138336 1
0.5%
94.69258118 1
0.5%

MFCC_5
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct187
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-35.372647
Minimum-72.745552
Maximum16.959507
Zeros0
Zeros (%)0.0%
Negative185
Negative (%)98.9%
Memory size880.0 B
2024-04-08T13:53:52.850813image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/

Quantile statistics

Minimum-72.745552
5-th percentile-58.736067
Q1-45.174469
median-34.694302
Q3-27.67239
95-th percentile-13.887443
Maximum16.959507
Range89.705063
Interquartile range (IQR)17.502079

Descriptive statistics

Standard deviation14.372493
Coefficient of variation (CV)-0.40631658
Kurtosis0.45728418
Mean-35.372647
Median Absolute Deviation (MAD)8.9384727
Skewness0.22983724
Sum-6614.685
Variance206.56854
MonotonicityNot monotonic
2024-04-08T13:53:52.954881image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
16.95950699 1
 
0.5%
-37.97101212 1
 
0.5%
-19.55330849 1
 
0.5%
-39.42148972 1
 
0.5%
-61.94503784 1
 
0.5%
-59.57949448 1
 
0.5%
-47.64095306 1
 
0.5%
-41.44921112 1
 
0.5%
-46.02817535 1
 
0.5%
-55.27384186 1
 
0.5%
Other values (177) 177
94.7%
ValueCountFrequency (%)
-72.74555206 1
0.5%
-64.33653259 1
0.5%
-63.96012497 1
0.5%
-63.88386154 1
0.5%
-63.64156723 1
0.5%
-61.94503784 1
0.5%
-61.70915985 1
0.5%
-59.57949448 1
0.5%
-58.81282043 1
0.5%
-58.75595474 1
0.5%
ValueCountFrequency (%)
16.95950699 1
0.5%
5.946241379 1
0.5%
-5.378489494 1
0.5%
-6.050708771 1
0.5%
-6.745822906 1
0.5%
-7.105505943 1
0.5%
-9.690713882 1
0.5%
-12.81980896 1
0.5%
-13.87559032 1
0.5%
-13.88429642 1
0.5%

MFCC_6
Real number (ℝ)

UNIQUE 

Distinct187
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean32.976253
Minimum-11.291233
Maximum75.215012
Zeros0
Zeros (%)0.0%
Negative2
Negative (%)1.1%
Memory size880.0 B
2024-04-08T13:53:53.055462image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/

Quantile statistics

Minimum-11.291233
5-th percentile8.6163862
Q125.853447
median32.938541
Q338.353796
95-th percentile60.019346
Maximum75.215012
Range86.506241
Interquartile range (IQR)12.500349

Descriptive statistics

Standard deviation14.415033
Coefficient of variation (CV)0.43713376
Kurtosis1.2344303
Mean32.976253
Median Absolute Deviation (MAD)6.7078266
Skewness0.18616903
Sum6166.5593
Variance207.7932
MonotonicityNot monotonic
2024-04-08T13:53:53.154100image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6.608624935 1
 
0.5%
51.02233887 1
 
0.5%
31.97652054 1
 
0.5%
32.0317688 1
 
0.5%
37.27768326 1
 
0.5%
48.32244873 1
 
0.5%
43.15306091 1
 
0.5%
27.94547081 1
 
0.5%
24.37621307 1
 
0.5%
32.94355011 1
 
0.5%
Other values (177) 177
94.7%
ValueCountFrequency (%)
-11.29123306 1
0.5%
-6.898140907 1
0.5%
0.04178583622 1
0.5%
1.95813489 1
0.5%
2.655035973 1
0.5%
2.691731691 1
0.5%
2.966615677 1
0.5%
6.608624935 1
0.5%
8.146619797 1
0.5%
8.359619141 1
0.5%
ValueCountFrequency (%)
75.2150116 1
0.5%
73.18286133 1
0.5%
71.12942505 1
0.5%
70.97793579 1
0.5%
68.60098267 1
0.5%
65.98149109 1
0.5%
65.4903717 1
0.5%
64.43827057 1
0.5%
60.84403992 1
0.5%
60.45929718 1
0.5%

MFCC_7
Real number (ℝ)

UNIQUE 

Distinct187
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-25.977256
Minimum-59.310013
Maximum7.3301868
Zeros0
Zeros (%)0.0%
Negative183
Negative (%)97.9%
Memory size880.0 B
2024-04-08T13:53:53.253214image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/

Quantile statistics

Minimum-59.310013
5-th percentile-47.410856
Q1-33.449898
median-24.998936
Q3-16.685604
95-th percentile-8.6609288
Maximum7.3301868
Range66.640198
Interquartile range (IQR)16.764294

Descriptive statistics

Standard deviation12.596384
Coefficient of variation (CV)-0.48490048
Kurtosis0.21749611
Mean-25.977256
Median Absolute Deviation (MAD)8.383419
Skewness-0.37936172
Sum-4857.7469
Variance158.6689
MonotonicityNot monotonic
2024-04-08T13:53:53.362623image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-26.04147339 1
 
0.5%
-28.46234703 1
 
0.5%
-25.83067894 1
 
0.5%
-12.43951225 1
 
0.5%
3.461948156 1
 
0.5%
7.330186844 1
 
0.5%
-4.653918743 1
 
0.5%
-21.16506577 1
 
0.5%
-17.87880135 1
 
0.5%
-12.62158108 1
 
0.5%
Other values (177) 177
94.7%
ValueCountFrequency (%)
-59.31001282 1
0.5%
-59.09956741 1
0.5%
-59.02038574 1
0.5%
-58.76111603 1
0.5%
-55.7717247 1
0.5%
-55.30361176 1
0.5%
-54.88319778 1
0.5%
-50.20157623 1
0.5%
-49.19000244 1
0.5%
-47.85773849 1
0.5%
ValueCountFrequency (%)
7.330186844 1
0.5%
3.461948156 1
0.5%
3.118301153 1
0.5%
0.2828953564 1
0.5%
-3.234981775 1
0.5%
-4.653918743 1
0.5%
-5.847831726 1
0.5%
-8.126887321 1
0.5%
-8.557443619 1
0.5%
-8.638278961 1
0.5%

MFCC_8
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct187
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.746561
Minimum-26.980824
Maximum39.347736
Zeros0
Zeros (%)0.0%
Negative70
Negative (%)37.4%
Memory size880.0 B
2024-04-08T13:53:53.469229image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/

Quantile statistics

Minimum-26.980824
5-th percentile-19.39338
Q1-5.2580788
median6.0890908
Q317.59481
95-th percentile29.028531
Maximum39.347736
Range66.32856
Interquartile range (IQR)22.852889

Descriptive statistics

Standard deviation14.731219
Coefficient of variation (CV)2.5634844
Kurtosis-0.65360385
Mean5.746561
Median Absolute Deviation (MAD)11.376079
Skewness-0.090028167
Sum1074.6069
Variance217.00882
MonotonicityNot monotonic
2024-04-08T13:53:53.575270image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-9.323313713 1
 
0.5%
24.98114777 1
 
0.5%
-5.564988136 1
 
0.5%
4.105522156 1
 
0.5%
-2.311619282 1
 
0.5%
-8.442233086 1
 
0.5%
-4.221827507 1
 
0.5%
6.061943054 1
 
0.5%
19.26500511 1
 
0.5%
29.31717682 1
 
0.5%
Other values (177) 177
94.7%
ValueCountFrequency (%)
-26.98082352 1
0.5%
-26.29425049 1
0.5%
-25.59309006 1
0.5%
-21.78673172 1
0.5%
-21.70204163 1
0.5%
-21.00054169 1
0.5%
-20.80708694 1
0.5%
-20.50300598 1
0.5%
-19.81420898 1
0.5%
-19.4977417 1
0.5%
ValueCountFrequency (%)
39.34773636 1
0.5%
39.3117981 1
0.5%
36.02941132 1
0.5%
34.4859581 1
0.5%
32.97680664 1
0.5%
32.06403351 1
0.5%
31.66720772 1
0.5%
31.19726562 1
0.5%
29.81232071 1
0.5%
29.31717682 1
0.5%

MFCC_9
Real number (ℝ)

UNIQUE 

Distinct187
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-5.5350976
Minimum-31.162205
Maximum16.646019
Zeros0
Zeros (%)0.0%
Negative131
Negative (%)70.1%
Memory size880.0 B
2024-04-08T13:53:53.679999image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/

Quantile statistics

Minimum-31.162205
5-th percentile-20.367318
Q1-13.117269
median-5.7642093
Q31.9350326
95-th percentile11.237577
Maximum16.646019
Range47.808224
Interquartile range (IQR)15.052302

Descriptive statistics

Standard deviation9.7523232
Coefficient of variation (CV)-1.7619063
Kurtosis-0.59097898
Mean-5.5350976
Median Absolute Deviation (MAD)7.4987588
Skewness0.042698398
Sum-1035.0632
Variance95.107803
MonotonicityNot monotonic
2024-04-08T13:53:53.780275image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-13.26296806 1
 
0.5%
-9.711145401 1
 
0.5%
-20.05893517 1
 
0.5%
-19.20619774 1
 
0.5%
-22.54272842 1
 
0.5%
-15.63743401 1
 
0.5%
-3.367150545 1
 
0.5%
5.543223381 1
 
0.5%
-0.2057823539 1
 
0.5%
-11.20025635 1
 
0.5%
Other values (177) 177
94.7%
ValueCountFrequency (%)
-31.16220474 1
0.5%
-25.74092293 1
0.5%
-25.46295929 1
0.5%
-23.92074013 1
0.5%
-23.11337662 1
0.5%
-22.54272842 1
0.5%
-21.3778286 1
0.5%
-21.20119095 1
0.5%
-20.60374069 1
0.5%
-20.38946915 1
0.5%
ValueCountFrequency (%)
16.64601898 1
0.5%
15.08600807 1
0.5%
14.70256424 1
0.5%
14.12497807 1
0.5%
12.90995216 1
0.5%
12.38120461 1
0.5%
12.37391186 1
0.5%
12.08952904 1
0.5%
12.01415825 1
0.5%
11.54100037 1
0.5%

MFCC_10
Real number (ℝ)

UNIQUE 

Distinct187
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.1731842
Minimum-19.348404
Maximum19.606743
Zeros0
Zeros (%)0.0%
Negative83
Negative (%)44.4%
Memory size880.0 B
2024-04-08T13:53:53.879919image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/

Quantile statistics

Minimum-19.348404
5-th percentile-12.6387
Q1-3.353025
median1.3590603
Q36.3015108
95-th percentile14.179134
Maximum19.606743
Range38.955147
Interquartile range (IQR)9.6545358

Descriptive statistics

Standard deviation7.8286147
Coefficient of variation (CV)6.6729631
Kurtosis-0.14745772
Mean1.1731842
Median Absolute Deviation (MAD)4.7681384
Skewness-0.11261493
Sum219.38544
Variance61.287205
MonotonicityNot monotonic
2024-04-08T13:53:54.119063image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-6.766928673 1
 
0.5%
7.824580193 1
 
0.5%
-2.377370834 1
 
0.5%
-8.458950043 1
 
0.5%
-3.926043987 1
 
0.5%
8.729137421 1
 
0.5%
11.12747383 1
 
0.5%
4.614357948 1
 
0.5%
-3.849997044 1
 
0.5%
2.587496281 1
 
0.5%
Other values (177) 177
94.7%
ValueCountFrequency (%)
-19.34840393 1
0.5%
-16.76091957 1
0.5%
-15.06061649 1
0.5%
-14.83449936 1
0.5%
-14.73802662 1
0.5%
-14.62406254 1
0.5%
-14.59639549 1
0.5%
-14.52945805 1
0.5%
-14.39180183 1
0.5%
-12.71478081 1
0.5%
ValueCountFrequency (%)
19.60674286 1
0.5%
19.12292099 1
0.5%
18.57788849 1
0.5%
17.69631958 1
0.5%
16.87100983 1
0.5%
16.70580292 1
0.5%
16.62649536 1
0.5%
15.08990383 1
0.5%
14.82614899 1
0.5%
14.56428337 1
0.5%

MFCC_11
Real number (ℝ)

UNIQUE 

Distinct187
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-6.5158279
Minimum-24.210445
Maximum14.299161
Zeros0
Zeros (%)0.0%
Negative151
Negative (%)80.7%
Memory size880.0 B
2024-04-08T13:53:54.227504image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/

Quantile statistics

Minimum-24.210445
5-th percentile-17.771832
Q1-11.829483
median-7.3008013
Q3-0.71921873
95-th percentile5.6561426
Maximum14.299161
Range38.509605
Interquartile range (IQR)11.110264

Descriptive statistics

Standard deviation7.2547398
Coefficient of variation (CV)-1.1134026
Kurtosis0.059114851
Mean-6.5158279
Median Absolute Deviation (MAD)5.0366344
Skewness0.32445726
Sum-1218.4598
Variance52.631252
MonotonicityNot monotonic
2024-04-08T13:53:54.336714image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-8.187490463 1
 
0.5%
0.1124635339 1
 
0.5%
0.5359600782 1
 
0.5%
-9.592926025 1
 
0.5%
-11.94911766 1
 
0.5%
-10.7878437 1
 
0.5%
-11.99006653 1
 
0.5%
-9.81907177 1
 
0.5%
4.001066208 1
 
0.5%
14.29916096 1
 
0.5%
Other values (177) 177
94.7%
ValueCountFrequency (%)
-24.2104454 1
0.5%
-23.8199234 1
0.5%
-22.97327042 1
0.5%
-20.75454903 1
0.5%
-20.15092087 1
0.5%
-19.9084053 1
0.5%
-18.94707489 1
0.5%
-18.68746948 1
0.5%
-18.4717865 1
0.5%
-18.01771545 1
0.5%
ValueCountFrequency (%)
14.29916096 1
0.5%
13.4947834 1
0.5%
11.5398941 1
0.5%
9.587878227 1
0.5%
9.288919449 1
0.5%
8.18859005 1
0.5%
8.070161819 1
0.5%
7.847799301 1
0.5%
6.355313301 1
0.5%
5.768452644 1
0.5%

MFCC_12
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct187
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-8.9055536
Minimum-25.34182
Maximum5.3918657
Zeros0
Zeros (%)0.0%
Negative159
Negative (%)85.0%
Memory size880.0 B
2024-04-08T13:53:54.441131image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/

Quantile statistics

Minimum-25.34182
5-th percentile-21.484447
Q1-13.771898
median-9.4663715
Q3-3.4287987
95-th percentile2.5022593
Maximum5.3918657
Range30.733685
Interquartile range (IQR)10.343099

Descriptive statistics

Standard deviation7.0398393
Coefficient of variation (CV)-0.79049991
Kurtosis-0.54650694
Mean-8.9055536
Median Absolute Deviation (MAD)4.7187147
Skewness-0.075781181
Sum-1665.3385
Variance49.559338
MonotonicityNot monotonic
2024-04-08T13:53:54.543243image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.361034393 1
 
0.5%
-25.29273224 1
 
0.5%
-3.025327206 1
 
0.5%
-4.443393707 1
 
0.5%
-5.981600285 1
 
0.5%
-18.67704773 1
 
0.5%
-24.28194427 1
 
0.5%
-20.08166122 1
 
0.5%
-12.37935543 1
 
0.5%
-12.52578163 1
 
0.5%
Other values (177) 177
94.7%
ValueCountFrequency (%)
-25.34181976 1
0.5%
-25.29273224 1
0.5%
-24.28194427 1
0.5%
-23.67136955 1
0.5%
-23.30375671 1
0.5%
-22.74120712 1
0.5%
-22.27831078 1
0.5%
-22.23082733 1
0.5%
-22.22491837 1
0.5%
-21.60202789 1
0.5%
ValueCountFrequency (%)
5.39186573 1
0.5%
5.27797842 1
0.5%
4.013150215 1
0.5%
3.628081322 1
0.5%
3.394776583 1
0.5%
3.340775251 1
0.5%
2.773951769 1
0.5%
2.719759464 1
0.5%
2.600085258 1
0.5%
2.562784195 1
0.5%

MFCC_13
Real number (ℝ)

UNIQUE 

Distinct187
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.5726422
Minimum-10.036694
Maximum24.51037
Zeros0
Zeros (%)0.0%
Negative30
Negative (%)16.0%
Memory size880.0 B
2024-04-08T13:53:54.646081image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/

Quantile statistics

Minimum-10.036694
5-th percentile-4.3655426
Q11.9648041
median6.9282236
Q312.895236
95-th percentile19.913089
Maximum24.51037
Range34.547066
Interquartile range (IQR)10.930432

Descriptive statistics

Standard deviation7.3382735
Coefficient of variation (CV)0.96905061
Kurtosis-0.53632933
Mean7.5726422
Median Absolute Deviation (MAD)5.4159861
Skewness0.11166599
Sum1416.0841
Variance53.850262
MonotonicityNot monotonic
2024-04-08T13:53:54.752000image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6.092214584 1
 
0.5%
13.30973911 1
 
0.5%
-6.457974911 1
 
0.5%
1.854765892 1
 
0.5%
10.45783234 1
 
0.5%
4.678672314 1
 
0.5%
2.969340324 1
 
0.5%
4.618253708 1
 
0.5%
2.912626743 1
 
0.5%
4.687932968 1
 
0.5%
Other values (177) 177
94.7%
ValueCountFrequency (%)
-10.03669357 1
0.5%
-8.422559738 1
0.5%
-6.783977509 1
0.5%
-6.742647171 1
0.5%
-6.457974911 1
0.5%
-5.596401691 1
0.5%
-5.1829772 1
0.5%
-4.626434803 1
0.5%
-4.471308708 1
0.5%
-4.37094593 1
0.5%
ValueCountFrequency (%)
24.51037025 1
0.5%
24.28137398 1
0.5%
22.82674026 1
0.5%
22.73373604 1
0.5%
21.77180481 1
0.5%
21.49336624 1
0.5%
20.91008186 1
0.5%
20.83911133 1
0.5%
20.28565216 1
0.5%
19.95937729 1
0.5%

Interactions

2024-04-08T13:53:50.781593image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
2024-04-08T13:53:40.725131image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
2024-04-08T13:53:41.664023image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
2024-04-08T13:53:42.494057image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
2024-04-08T13:53:43.323951image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
2024-04-08T13:53:44.144317image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
2024-04-08T13:53:45.035162image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
2024-04-08T13:53:45.766221image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
2024-04-08T13:53:46.591957image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
2024-04-08T13:53:47.407276image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
2024-04-08T13:53:48.295018image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
2024-04-08T13:53:49.132586image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
2024-04-08T13:53:49.973101image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
2024-04-08T13:53:50.849161image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
2024-04-08T13:53:40.795208image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
2024-04-08T13:53:41.731173image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
2024-04-08T13:53:42.558855image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
2024-04-08T13:53:43.395255image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
2024-04-08T13:53:44.208653image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
2024-04-08T13:53:45.093750image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
2024-04-08T13:53:45.833862image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
2024-04-08T13:53:46.658182image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
2024-04-08T13:53:47.469301image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
2024-04-08T13:53:48.363455image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
2024-04-08T13:53:49.201352image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
2024-04-08T13:53:50.039402image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
2024-04-08T13:53:50.915957image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
2024-04-08T13:53:40.862194image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
2024-04-08T13:53:41.797244image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
2024-04-08T13:53:42.622687image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
2024-04-08T13:53:43.464094image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
2024-04-08T13:53:44.270942image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
2024-04-08T13:53:45.152190image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
2024-04-08T13:53:45.900307image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
2024-04-08T13:53:46.724564image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
2024-04-08T13:53:47.531751image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
2024-04-08T13:53:48.430957image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
2024-04-08T13:53:49.269450image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
2024-04-08T13:53:50.104497image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
2024-04-08T13:53:50.977420image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
2024-04-08T13:53:40.923926image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
2024-04-08T13:53:41.858503image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
2024-04-08T13:53:42.681530image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
2024-04-08T13:53:43.526721image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
2024-04-08T13:53:44.327676image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
2024-04-08T13:53:45.204944image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
2024-04-08T13:53:45.961662image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
2024-04-08T13:53:46.784312image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
2024-04-08T13:53:47.587451image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
2024-04-08T13:53:48.493439image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
2024-04-08T13:53:49.332386image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
2024-04-08T13:53:50.164679image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
2024-04-08T13:53:51.037274image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
2024-04-08T13:53:40.986198image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
2024-04-08T13:53:41.918889image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
2024-04-08T13:53:42.740992image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
2024-04-08T13:53:43.589852image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
2024-04-08T13:53:44.384954image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
2024-04-08T13:53:45.257359image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
2024-04-08T13:53:46.022863image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
2024-04-08T13:53:46.844110image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
2024-04-08T13:53:47.644140image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
2024-04-08T13:53:48.555157image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
2024-04-08T13:53:49.394775image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
2024-04-08T13:53:50.223678image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
2024-04-08T13:53:51.093122image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
2024-04-08T13:53:41.045329image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
2024-04-08T13:53:41.977335image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
2024-04-08T13:53:42.801679image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
2024-04-08T13:53:43.646499image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
2024-04-08T13:53:44.438758image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
2024-04-08T13:53:45.307995image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
2024-04-08T13:53:46.081566image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
2024-04-08T13:53:46.901985image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
2024-04-08T13:53:47.697038image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
2024-04-08T13:53:48.614650image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
2024-04-08T13:53:49.453848image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
2024-04-08T13:53:50.280877image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
2024-04-08T13:53:51.145846image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
2024-04-08T13:53:41.101243image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
2024-04-08T13:53:42.032881image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
2024-04-08T13:53:42.858566image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
2024-04-08T13:53:43.699418image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
2024-04-08T13:53:44.490946image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
2024-04-08T13:53:45.354549image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
2024-04-08T13:53:46.136676image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
2024-04-08T13:53:46.956068image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
2024-04-08T13:53:47.747703image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
2024-04-08T13:53:48.670271image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
2024-04-08T13:53:49.510543image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
2024-04-08T13:53:50.334302image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
2024-04-08T13:53:51.209013image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
2024-04-08T13:53:41.168594image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
2024-04-08T13:53:42.099903image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
2024-04-08T13:53:42.926187image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
2024-04-08T13:53:43.763694image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
2024-04-08T13:53:44.552916image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
2024-04-08T13:53:45.413624image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
2024-04-08T13:53:46.202843image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
2024-04-08T13:53:47.021757image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
2024-04-08T13:53:47.809288image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
2024-04-08T13:53:48.737737image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
2024-04-08T13:53:49.577121image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
2024-04-08T13:53:50.398516image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
2024-04-08T13:53:51.275679image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
2024-04-08T13:53:41.235575image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
2024-04-08T13:53:42.166699image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
2024-04-08T13:53:42.993436image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
2024-04-08T13:53:43.828303image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
2024-04-08T13:53:44.614876image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
2024-04-08T13:53:45.471169image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
2024-04-08T13:53:46.268549image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
2024-04-08T13:53:47.086287image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
2024-04-08T13:53:47.870435image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
2024-04-08T13:53:48.804007image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
2024-04-08T13:53:49.644762image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
2024-04-08T13:53:50.463516image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
2024-04-08T13:53:51.334022image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
2024-04-08T13:53:41.393173image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
2024-04-08T13:53:42.225213image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
2024-04-08T13:53:43.052720image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
2024-04-08T13:53:43.884553image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
2024-04-08T13:53:44.786127image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
2024-04-08T13:53:45.522290image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
2024-04-08T13:53:46.326572image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
2024-04-08T13:53:47.144130image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
2024-04-08T13:53:47.924567image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
2024-04-08T13:53:48.863656image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
2024-04-08T13:53:49.703732image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
2024-04-08T13:53:50.519871image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
2024-04-08T13:53:51.525709image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
2024-04-08T13:53:41.462331image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
2024-04-08T13:53:42.294563image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
2024-04-08T13:53:43.123144image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
2024-04-08T13:53:43.952337image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
2024-04-08T13:53:44.849370image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
2024-04-08T13:53:45.585403image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
2024-04-08T13:53:46.394405image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
2024-04-08T13:53:47.211203image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
2024-04-08T13:53:47.987608image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
2024-04-08T13:53:48.932098image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
2024-04-08T13:53:49.773977image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
2024-04-08T13:53:50.587380image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
2024-04-08T13:53:51.593292image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
2024-04-08T13:53:41.532284image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
2024-04-08T13:53:42.363648image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
2024-04-08T13:53:43.192919image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
2024-04-08T13:53:44.018554image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
2024-04-08T13:53:44.914173image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
2024-04-08T13:53:45.648059image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
2024-04-08T13:53:46.463063image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
2024-04-08T13:53:47.279224image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
2024-04-08T13:53:48.052092image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
2024-04-08T13:53:49.002312image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
2024-04-08T13:53:49.842332image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
2024-04-08T13:53:50.655133image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
2024-04-08T13:53:51.656817image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
2024-04-08T13:53:41.596511image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
2024-04-08T13:53:42.427656image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
2024-04-08T13:53:43.257130image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
2024-04-08T13:53:44.080413image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
2024-04-08T13:53:44.973269image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
2024-04-08T13:53:45.706409image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
2024-04-08T13:53:46.526070image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
2024-04-08T13:53:47.341574image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
2024-04-08T13:53:48.234011image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
2024-04-08T13:53:49.066540image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
2024-04-08T13:53:49.906945image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
2024-04-08T13:53:50.717366image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/

Correlations

2024-04-08T13:53:54.829087image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
MFCC_1MFCC_10MFCC_11MFCC_12MFCC_13MFCC_2MFCC_3MFCC_4MFCC_5MFCC_6MFCC_7MFCC_8MFCC_9
MFCC_11.0000.260-0.187-0.522-0.0940.506-0.507-0.262-0.501-0.123-0.162-0.336-0.180
MFCC_100.2601.000-0.067-0.3260.2370.116-0.374-0.203-0.0650.138-0.014-0.2700.356
MFCC_11-0.187-0.0671.0000.259-0.214-0.2610.148-0.094-0.1810.3940.0170.375-0.125
MFCC_12-0.522-0.3260.2591.0000.187-0.3050.0450.0950.2250.0610.3520.3150.168
MFCC_13-0.0940.237-0.2140.1871.000-0.477-0.2690.317-0.0150.164-0.0710.3870.472
MFCC_20.5060.116-0.261-0.305-0.4771.000-0.104-0.659-0.068-0.3290.190-0.740-0.413
MFCC_3-0.507-0.3740.1480.045-0.269-0.1041.0000.2220.049-0.008-0.2840.010-0.468
MFCC_4-0.262-0.203-0.0940.0950.317-0.6590.2221.0000.175-0.240-0.3710.3530.090
MFCC_5-0.501-0.065-0.1810.225-0.015-0.0680.0490.1751.000-0.218-0.029-0.1450.120
MFCC_6-0.1230.1380.3940.0610.164-0.329-0.008-0.240-0.2181.0000.0320.2370.136
MFCC_7-0.162-0.0140.0170.352-0.0710.190-0.284-0.371-0.0290.0321.0000.0450.120
MFCC_8-0.336-0.2700.3750.3150.387-0.7400.0100.353-0.1450.2370.0451.0000.342
MFCC_9-0.1800.356-0.1250.1680.472-0.413-0.4680.0900.1200.1360.1200.3421.000

Missing values

2024-04-08T13:53:51.752532image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-08T13:53:51.892049image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

MFCC_1MFCC_2MFCC_3MFCC_4MFCC_5MFCC_6MFCC_7MFCC_8MFCC_9MFCC_10MFCC_11MFCC_12MFCC_13
0-360.631500132.2834781.03123053.75860616.9595076.608625-26.041473-9.323314-13.262968-6.766929-8.1874902.3610346.092215
1-324.908020139.780212-29.05644880.1105655.9462412.691732-30.429052-3.318359-20.389469-14.834499-11.132061-3.0635866.829799
2-326.701447136.300766-44.60552298.228195-15.1846712.966616-32.8859673.131474-20.248547-16.760920-10.227953-11.2168932.074842
3-331.767303134.052399-34.994270100.733124-18.5922812.655036-35.7576906.047634-16.778061-14.529458-6.760581-13.237317-2.843571
4-357.450256137.512405-24.15048687.353485-15.3800329.215509-31.9587358.645828-14.799988-15.060616-7.039849-4.748230-0.652987
5-363.920074137.653992-43.01590739.005203-18.50196848.741653-20.660301-6.262221-23.113377-3.3150149.5878783.394777-1.559523
6-347.493073140.282715-49.15165329.672649-24.40583456.785763-25.957542-9.236094-19.652195-3.55147013.4947834.013150-5.182977
7-340.601074149.891220-35.73500140.106636-28.89722151.680367-25.904766-12.941641-25.740923-9.4012438.188590-0.752432-6.742647
8-332.634857154.747604-34.43125944.515411-34.77874444.679295-28.833441-17.581964-20.6037410.0238595.768453-7.820419-0.194232
9-330.059967151.202438-42.37499248.799175-34.69710240.610298-27.593685-15.707429-12.7287906.1534529.288919-8.0363566.075787
MFCC_1MFCC_2MFCC_3MFCC_4MFCC_5MFCC_6MFCC_7MFCC_8MFCC_9MFCC_10MFCC_11MFCC_12MFCC_13
177-378.722168107.736343-64.03527854.877060-13.88429636.798172-14.44395814.14484610.5295896.106599-11.1511302.24219422.826740
178-388.532715108.011055-58.45391851.697296-13.89478436.272430-15.33079314.0980449.9225879.827753-8.4020283.34077524.510370
179-404.939117105.886581-49.43312147.641571-16.51178034.230858-14.77828120.26137911.5410009.664120-7.4935483.62808119.805082
180-423.525970105.495300-27.60225753.519070-17.39999634.054253-14.17673519.4146393.3040158.659693-3.6915520.53326913.922468
181-432.450256108.008423-14.46843158.032204-17.52621732.584076-13.49974417.109909-3.6074907.011751-0.669231-4.1351622.471190
182-420.947174113.984673-15.69090162.502037-20.04568127.130743-14.44686714.643231-7.650342-1.291073-3.261194-3.1498462.774763
183-382.652039125.235428-7.13070182.644089-25.59875923.425661-29.2223555.529510-17.994602-14.624063-6.685091-5.4894228.490705
184-358.854340106.292938-6.94870893.684563-37.58108935.632301-37.46400512.085363-13.053898-14.596395-5.908775-6.44207110.983959
185-350.30041569.146233-15.46998282.503372-33.92660547.241707-29.20424717.961742-0.138365-3.409078-0.3246361.8803641.062822
186-366.80065945.917717-8.39638968.688583-24.13463241.442997-20.3656819.9576892.146558-2.482525-4.2461742.7197592.360467